Suppose you're working on a dataset with both linear and nonlinear features predicting the target variable. What regression approach might you take?
- Combine Linear and Polynomial Regression
- Linear Regression only
- Logistic Regression
- Polynomial Regression only
When dealing with a dataset with both linear and nonlinear features, combining Linear and Polynomial Regression can be an effective approach. This allows the model to capture both the linear and nonlinear relationships in the data, providing a more accurate representation of the underlying patterns.
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